Senior Analytics Engineer

Role Overview

The Senior Analytics Engineer will be part of Insulet’s Data Science & Analytics Center of Excellence and will be responsible for the data product’s portfolio ranging from BI dashboards to automated monitoring and alerting processes.

What You Will Do

Ownership, development, and maintenance of the Data Science & Analytics COE data products portfolio, identifying and delivering actionable insights, and developing analytics tools and processes.

Why It Might Be a Fit

The role requires demonstrated knowledge in SQL and relational databases, experience in implementing and maintaining Business Intelligence tools, and experience using statistics and advanced analytics to derive insights from large datasets.

Requirements

• Doctor of Philosophy degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field with 3+ years of experience
• Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse or relational/non-relational databases
• Experience using statistics and advanced analytics to derive insights from large datasets
• Demonstrated knowledge in SQL and relational databases
• Knowledge in non-relational databases (MongoDB) is a plus
• Demonstrated knowledge of managing large data sets in the cloud (Azure SQL, Google BigQuery, etc.)
• Demonstrated knowledge of building, maintaining, and scaling Business Intelligence Reports (TIBCO Spotfire, PowerBI, Tableau, etc.)
• Demonstrated coding abilities in Python, R, or command line scripting languages
• Experience with Salesforce data is a plus
• Experience with Databricks and Spark is a plus
• Demonstrated familiarity with different data types as inputs (e.g. CSV, XML, JSON, etc)
• Demonstrated knowledge of database and dataset validation best practices
• Demonstrated knowledge of software engineering principles and practices

Tagged as: BigQuery, Power BI, Python, Salesforce, SQL, Tableau